Generalized inverse transformation method via representative points in statistical simulation-Reference-Cited by-同舟云学术

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Generalized inverse transformation method via representative points in statistical simulation

Published:2024-06-24 Issue: Volume: Page:1-27
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Li Yinan¹²³,Sun Zhihua⁴,Fang Kai-Tai¹²⁵

Affiliation:

1. Faculty of Science and Technology, BNU-HKBU United International College, Zhuhai, China

2. Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, China

3. Department of Mathematics, Hong Kong Baptist University, Hong Kong, China

4. Department of Mathematics, Ocean University of China, Qingdao, China

5. The Key Lab of Random Complex Structures and Data Analysis, The Chinese Academy of Sciences, Beijing, China

Funder

Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, BNU-HKBU United International College

the BNU-HKBU United International College

Guangdong University Innovation and Enhancement Program

the Shandong Provincial Natural Science Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2024.2369801

Reference28 articles.

1. Approximation of continuous random variables for the evaluation of the reliability parameter of complex stress–strength models

2. Discrete approximations of continuous probability distributions obtained by minimizing Cramér-von Mises-type distances

3. Billingsley, P. 1995. Probability and Measure. 3rd ed. New York: Wiley.

4. Generating discrete analogues of continuous probability distributions-A survey of methods and constructions

5. The Representative Points of Nonlinear Transformation of Random Variable

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